July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Configuring and building a model
Frequently, DL4J uses the MultiLayerConfiguration class to define the configuration of the model and the MultiLayerNetwork class to represent a model. These classes provide a flexible way of building models.
In the following example, we will demonstrate the use of these classes. Starting with the MultiLayerConfiguration class, we find that several methods are used in a fluent style. We will provide more details about these methods shortly. However, notice that two layers are defined for this model:
MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder() .iterations(1000) .activation("relu") .weightInit(WeightInit.XAVIER) .learningRate(0.4) .list() .layer(0, new DenseLayer.Builder() .nIn(6).nOut(3) ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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